186.191 Realtime Visualization
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2020W, VU, 2.0h, 3.0EC
TUWEL

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise
  • Format: Distance Learning

Learning outcomes

After successful completion of the course, students are able to understand real-time visualization concepts and analyse implementation code examples. The covered concepts include High-Performance Computing, GPGPU for Real-Time Visualization and Visualization, and Real-Time Visual Analytics.

Subject of course

 

Advanced programming using compute shaders with simultaneous rendering in graphics shaders

Utilization of modern graphics hardware concepts: GPGPU

Real-time GPU-Processing of Fluid Simulation

Real-time Molecular Visualization

Real-time Global Volume Illumination

High-Performance Computing

Real-Time Visual Analytics

Real-Time Visualizatin and Filtering of Ultrasound Data

Real-Time Large Graph Visualization

Teaching methods

Lecture with slides and programming tasks.

Mode of examination

Immanent

Additional information

ECTS breakdown:  3 ECTS = 75 hours

37.5 hours - implementation, presentation, and documentation of the lab assignment

37.5 hours - lecture attendance and preparation for oral exam

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Thu11:00 - 13:0001.10.2020 - 21.01.2021Seminarraum FAV 05 (Seminarraum 186) Lecture (online)
Realtime Visualization - Single appointments
DayDateTimeLocationDescription
Thu01.10.202011:00 - 13:00Seminarraum FAV 05 (Seminarraum 186) Lecture (online)
Thu08.10.202011:00 - 13:00Seminarraum FAV 05 (Seminarraum 186) Lecture (online)
Thu15.10.202011:00 - 13:00Seminarraum FAV 05 (Seminarraum 186) Lecture (online)
Thu22.10.202011:00 - 13:00Seminarraum FAV 05 (Seminarraum 186) Lecture (online)
Thu29.10.202011:00 - 13:00Seminarraum FAV 05 (Seminarraum 186) Lecture (online)
Thu05.11.202011:00 - 13:00Seminarraum FAV 05 (Seminarraum 186) Lecture (online)
Thu12.11.202011:00 - 13:00Seminarraum FAV 05 (Seminarraum 186) Lecture (online)
Thu19.11.202011:00 - 13:00Seminarraum FAV 05 (Seminarraum 186) Lecture (online)
Thu26.11.202011:00 - 13:00Seminarraum FAV 05 (Seminarraum 186) Lecture (online)
Thu03.12.202011:00 - 13:00Seminarraum FAV 05 (Seminarraum 186) Lecture (online)
Thu10.12.202011:00 - 13:00Seminarraum FAV 05 (Seminarraum 186) Lecture (online)
Thu17.12.202011:00 - 13:00Seminarraum FAV 05 (Seminarraum 186) Lecture (online)
Thu07.01.202111:00 - 13:00Seminarraum FAV 05 (Seminarraum 186) Lecture (online)
Thu14.01.202111:00 - 13:00Seminarraum FAV 05 (Seminarraum 186) Lecture (online)
Thu21.01.202111:00 - 13:00Seminarraum FAV 05 (Seminarraum 186) Lecture (online)

Examination modalities

Written examination and submission interview.

Course registration

Begin End Deregistration end
10.09.2020 00:00 18.10.2020 00:00 03.11.2020 00:01

Curricula

Literature

No lecture notes are available.

Previous knowledge

While the foundations will be covered briefly, this is an advanced lecture. Prior attendence of the Computer Graphics lecture and lab course as well as the Visualization 1 and Visualization 2 lecture and lab course are therefore recommended.

 

Preceding courses

Accompanying courses

Miscellaneous

Language

English